Datos sobre accidentes aereos 1

Dataset statistics

Number of variables	15
Number of observations	5008
Missing cells	359
Missing cells (%)	0.5%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	450.1 KiB
Average record size in memory	92.0 B

Variable types

Numeric	9
DateTime	1
Categorical	5

Alerts

`Ruta` has a high cardinality: 4124 distinct values	High cardinality
`OperadOR` has a high cardinality: 2267 distinct values	High cardinality
`ac_type` has a high cardinality: 2468 distinct values	High cardinality
`Registros` has a high cardinality: 4700 distinct values	High cardinality
`Resumen` has a high cardinality: 4857 distinct values	High cardinality
`Unnamed: 0` is highly overall correlated with `Año_realializado`	High correlation
`Todos_abordo` is highly overall correlated with `Pasajeros_a_bordo` and 3 other fields	High correlation
`Pasajeros_a_bordo` is highly overall correlated with `Todos_abordo` and 3 other fields	High correlation
`Tripulacion_abordo` is highly overall correlated with `Todos_abordo` and 3 other fields	High correlation
`cantidad de fallecidos` is highly overall correlated with `Todos_abordo` and 4 other fields	High correlation
`Pasajeros_fallecidos` is highly overall correlated with `Todos_abordo` and 2 other fields	High correlation
`Tripulacionfallecida` is highly overall correlated with `Tripulacion_abordo` and 1 other fields	High correlation
`Año_realializado` is highly overall correlated with `Unnamed: 0`	High correlation
`Registros` has 272 (5.4%) missing values	Missing
`Resumen` has 59 (1.2%) missing values	Missing
`suelo` is highly skewed (γ1 = 49.20313053)	Skewed
`Unnamed: 0` is uniformly distributed	Uniform
`Ruta` is uniformly distributed	Uniform
`Registros` is uniformly distributed	Uniform
`Resumen` is uniformly distributed	Uniform
`Unnamed: 0` has unique values	Unique
`Pasajeros_a_bordo` has 869 (17.4%) zeros	Zeros
`cantidad de fallecidos` has 76 (1.5%) zeros	Zeros
`Pasajeros_fallecidos` has 1040 (20.8%) zeros	Zeros
`Tripulacionfallecida` has 400 (8.0%) zeros	Zeros
`suelo` has 4716 (94.2%) zeros	Zeros

Reproduction

Analysis started	2023-05-24 03:51:02.489508
Analysis finished	2023-05-24 03:52:33.080778
Duration	1 minute and 30.59 seconds
Software version	pandas-profiling v3.6.6
Download configuration	config.json

Unnamed: 0
Real number (ℝ)

HIGH CORRELATION UNIFORM UNIQUE

Distinct	5008
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2503.5

Minimum	0
Maximum	5007
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	39.2 KiB

Quantile statistics

Minimum	0
5-th percentile	250.35
Q1	1251.75
median	2503.5
Q3	3755.25
95-th percentile	4756.65
Maximum	5007
Range	5007
Interquartile range (IQR)	2503.5

Descriptive statistics

Standard deviation	1445.8294
Coefficient of variation (CV)	0.57752323
Kurtosis	-1.2
Mean	2503.5
Median Absolute Deviation (MAD)	1252
Skewness	0
Sum	12537528
Variance	2090422.7
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1	< 0.1%
3336	1	< 0.1%
3343	1	< 0.1%
3342	1	< 0.1%
3341	1	< 0.1%
3340	1	< 0.1%
3339	1	< 0.1%
3338	1	< 0.1%
3337	1	< 0.1%
3335	1	< 0.1%
Other values (4998)	4998	99.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
5007	1	< 0.1%
5006	1	< 0.1%
5005	1	< 0.1%
5004	1	< 0.1%
5003	1	< 0.1%
5002	1	< 0.1%
5001	1	< 0.1%
5000	1	< 0.1%
4999	1	< 0.1%
4998	1	< 0.1%

fecha
Date

Distinct	4577
Distinct (%)	91.4%
Missing	0
Missing (%)	0.0%
Memory size	39.2 KiB

Minimum	1908-09-17 00:00:00
Maximum	2021-07-06 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

Ruta
Categorical

HIGH CARDINALITY UNIFORM

Distinct	4124
Distinct (%)	82.4%
Missing	5
Missing (%)	0.1%
Memory size	39.2 KiB

Moscow, Russia	16
Manila, Philippines	15
New York, New York	14
Sao Paulo, Brazil	13
Cairo, Egypt	13
Other values (4119)	4932

Length

Max length	72
Median length	49
Mean length	20.812712
Min length	5

Characters and Unicode

Total characters	104126
Distinct characters	90
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3687 ?
Unique (%)	73.7%

Sample

1st row	Fort Myer, Virginia
2nd row	Juvisy-sur-Orge, France
3rd row	Atlantic City, New Jersey
4th row	Victoria, British Columbia, Canada
5th row	Over the North Sea

Common Values

Value	Count	Frequency (%)
Moscow, Russia	16	0.3%
Manila, Philippines	15	0.3%
New York, New York	14	0.3%
Sao Paulo, Brazil	13	0.3%
Cairo, Egypt	13	0.3%
Bogota, Colombia	12	0.2%
Rio de Janeiro, Brazil	12	0.2%
Near Moscow, Russia	11	0.2%
Chicago, Illinois	11	0.2%
Tehran, Iran	10	0.2%
Other values (4114)	4876	97.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
near	1350	9.2%
off	350	2.4%
russia	255	1.7%
new	229	1.6%
brazil	176	1.2%
colombia	153	1.0%
canada	131	0.9%
france	127	0.9%
california	117	0.8%
mexico	113	0.8%
Other values (4153)	11652	79.5%

Most occurring characters

Value	Count	Frequency (%)
a	13037	12.5%
	9703	9.3%
e	7073	6.8%
i	6567	6.3%
n	6545	6.3%
r	6035	5.8%
o	5367	5.2%
,	5210	5.0%
l	4000	3.8%
s	3530	3.4%
Other values (80)	37059	35.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	74113	71.2%
Uppercase Letter	14738	14.2%
Space Separator	9704	9.3%
Other Punctuation	5357	5.1%
Dash Punctuation	105	0.1%
Decimal Number	66	0.1%
Control	21	< 0.1%
Close Punctuation	11	< 0.1%
Open Punctuation	11	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	13037	17.6%
e	7073	9.5%
i	6567	8.9%
n	6545	8.8%
r	6035	8.1%
o	5367	7.2%
l	4000	5.4%
s	3530	4.8%
t	3112	4.2%
u	2756	3.7%
Other values (31)	16091	21.7%

Uppercase Letter

Value	Count	Frequency (%)
N	2032	13.8%
C	1456	9.9%
S	1145	7.8%
M	999	6.8%
B	952	6.5%
A	920	6.2%
P	787	5.3%
I	720	4.9%
R	652	4.4%
O	588	4.0%
Other values (17)	4487	30.4%

Decimal Number

Value	Count	Frequency (%)
0	24	36.4%
1	15	22.7%
2	9	13.6%
5	8	12.1%
8	3	4.5%
7	2	3.0%
3	2	3.0%
9	2	3.0%
6	1	1.5%

Other Punctuation

Value	Count	Frequency (%)
,	5210	97.3%
.	115	2.1%
'	24	0.4%
/	6	0.1%
&	1	< 0.1%
:	1	< 0.1%

Space Separator

Value	Count	Frequency (%)
	9703	> 99.9%
	1	< 0.1%

Control

Value	Count	Frequency (%)
	16	76.2%
	5	23.8%

Dash Punctuation

Value	Count	Frequency (%)
-	105	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	11	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	11	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	88851	85.3%
Common	15275	14.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	13037	14.7%
e	7073	8.0%
i	6567	7.4%
n	6545	7.4%
r	6035	6.8%
o	5367	6.0%
l	4000	4.5%
s	3530	4.0%
t	3112	3.5%
u	2756	3.1%
Other values (58)	30829	34.7%

Common

Value	Count	Frequency (%)
	9703	63.5%
,	5210	34.1%
.	115	0.8%
-	105	0.7%
0	24	0.2%
'	24	0.2%
	16	0.1%
1	15	0.1%
)	11	0.1%
(	11	0.1%
Other values (12)	41	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	104084	> 99.9%
None	42	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	13037	12.5%
	9703	9.3%
e	7073	6.8%
i	6567	6.3%
n	6545	6.3%
r	6035	5.8%
o	5367	5.2%
,	5210	5.0%
l	4000	3.8%
s	3530	3.4%
Other values (63)	37017	35.6%

None

Value	Count	Frequency (%)
é	14	33.3%
ö	5	11.9%
í	4	9.5%
ó	4	9.5%
á	2	4.8%
ï	2	4.8%
ô	1	2.4%
è	1	2.4%
à	1	2.4%
ä	1	2.4%
Other values (7)	7	16.7%

OperadOR
Categorical

Distinct	2267
Distinct (%)	45.4%
Missing	10
Missing (%)	0.2%
Memory size	39.2 KiB

Aeroflot	253
Military - U.S. Air Force	141
Air France	74
Deutsche Lufthansa	63
United Air Lines	44
Other values (2262)	4423

Length

Max length	65
Median length	47
Mean length	18.957583
Min length	3

Characters and Unicode

Total characters	94750
Distinct characters	87
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1734 ?
Unique (%)	34.7%

Sample

1st row	Military - U.S. Army
2nd row	Military - U.S. Navy
3rd row	Private
4th row	Military - German Navy
5th row	Military - German Navy

Common Values

Value	Count	Frequency (%)
Aeroflot	253	5.1%
Military - U.S. Air Force	141	2.8%
Air France	74	1.5%
Deutsche Lufthansa	63	1.3%
United Air Lines	44	0.9%
China National Aviation Corporation	43	0.9%
Military - U.S. Army Air Forces	43	0.9%
Pan American World Airways	41	0.8%
American Airlines	37	0.7%
US Aerial Mail Service	35	0.7%
Other values (2257)	4224	84.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
air	1481	10.3%
	961	6.7%
airlines	840	5.8%
military	778	5.4%
force	557	3.9%
airways	453	3.1%
u.s	302	2.1%
aeroflot	265	1.8%
lines	184	1.3%
royal	152	1.1%
Other values (2079)	8422	58.5%

Most occurring characters

Value	Count	Frequency (%)
i	10212	10.8%
	9421	9.9%
r	8849	9.3%
a	7786	8.2%
e	6780	7.2%
n	5528	5.8%
A	5083	5.4%
o	4380	4.6%
l	4079	4.3%
s	4000	4.2%
Other values (77)	28632	30.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	68181	72.0%
Uppercase Letter	15071	15.9%
Space Separator	9422	9.9%
Dash Punctuation	939	1.0%
Other Punctuation	869	0.9%
Open Punctuation	115	0.1%
Close Punctuation	115	0.1%
Decimal Number	30	< 0.1%
Control	8	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	10212	15.0%
r	8849	13.0%
a	7786	11.4%
e	6780	9.9%
n	5528	8.1%
o	4380	6.4%
l	4079	6.0%
s	4000	5.9%
t	3921	5.8%
c	1996	2.9%
Other values (28)	10650	15.6%

Uppercase Letter

Value	Count	Frequency (%)
A	5083	33.7%
M	1217	8.1%
S	1138	7.6%
C	910	6.0%
F	901	6.0%
T	679	4.5%
L	661	4.4%
U	534	3.5%
P	513	3.4%
N	496	3.3%
Other values (16)	2939	19.5%

Decimal Number

Value	Count	Frequency (%)
0	5	16.7%
7	4	13.3%
4	4	13.3%
2	3	10.0%
5	3	10.0%
1	3	10.0%
8	2	6.7%
6	2	6.7%
9	2	6.7%
3	2	6.7%

Other Punctuation

Value	Count	Frequency (%)
.	718	82.6%
/	109	12.5%
'	25	2.9%
,	10	1.2%
&	6	0.7%
?	1	0.1%

Space Separator

Value	Count	Frequency (%)
	9421	> 99.9%
	1	< 0.1%

Control

Value	Count	Frequency (%)
	6	75.0%
	2	25.0%

Dash Punctuation

Value	Count	Frequency (%)
-	939	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	115	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	115	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	83252	87.9%
Common	11498	12.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	10212	12.3%
r	8849	10.6%
a	7786	9.4%
e	6780	8.1%
n	5528	6.6%
A	5083	6.1%
o	4380	5.3%
l	4079	4.9%
s	4000	4.8%
t	3921	4.7%
Other values (54)	22634	27.2%

Common

Value	Count	Frequency (%)
	9421	81.9%
-	939	8.2%
.	718	6.2%
(	115	1.0%
)	115	1.0%
/	109	0.9%
'	25	0.2%
,	10	0.1%
	6	0.1%
&	6	0.1%
Other values (13)	34	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	94627	99.9%
None	123	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	10212	10.8%
	9421	10.0%
r	8849	9.4%
a	7786	8.2%
e	6780	7.2%
n	5528	5.8%
A	5083	5.4%
o	4380	4.6%
l	4079	4.3%
s	4000	4.2%
Other values (64)	28509	30.1%

None

Value	Count	Frequency (%)
é	102	82.9%
á	5	4.1%
à	2	1.6%
í	2	1.6%
ó	2	1.6%
ç	2	1.6%
ï	2	1.6%
ã	1	0.8%
ú	1	0.8%
ê	1	0.8%
Other values (3)	3	2.4%

ac_type
Categorical

Distinct	2468
Distinct (%)	49.4%
Missing	13
Missing (%)	0.3%
Memory size	39.2 KiB

Douglas DC-3	333
de Havilland Canada DHC-6 Twin Otter 300	81
Douglas C-47A	70
Douglas C-47	64
Douglas DC-4	41
Other values (2463)	4406

Length

Max length	42
Median length	36
Mean length	18.541542
Min length	4

Characters and Unicode

Total characters	92615
Distinct characters	77
Distinct categories	12 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1863 ?
Unique (%)	37.3%

Sample

1st row	Wright Flyer III
2nd row	Wright Byplane
3rd row	Dirigible
4th row	Curtiss seaplane
5th row	Zeppelin L-1 (airship)

Common Values

Value	Count	Frequency (%)
Douglas DC-3	333	6.6%
de Havilland Canada DHC-6 Twin Otter 300	81	1.6%
Douglas C-47A	70	1.4%
Douglas C-47	64	1.3%
Douglas DC-4	41	0.8%
Antonov AN-26	35	0.7%
Yakovlev YAK-40	35	0.7%
Junkers JU-52/3m	30	0.6%
De Havilland DH-4	27	0.5%
Douglas C-47B	27	0.5%
Other values (2458)	4252	84.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
douglas	1130	8.3%
boeing	418	3.1%
dc-3	387	2.8%
lockheed	332	2.4%
de	294	2.2%
havilland	292	2.1%
antonov	288	2.1%
canada	159	1.2%
otter	146	1.1%
ilyushin	142	1.0%
Other values (2525)	10025	73.6%

Most occurring characters

Value	Count	Frequency (%)
	8649	9.3%
-	5180	5.6%
e	4842	5.2%
o	4638	5.0%
a	4636	5.0%
n	3856	4.2%
l	3696	4.0%
i	3486	3.8%
r	3306	3.6%
C	3034	3.3%
Other values (67)	47292	51.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	46427	50.1%
Uppercase Letter	17900	19.3%
Decimal Number	13808	14.9%
Space Separator	8650	9.3%
Dash Punctuation	5180	5.6%
Other Punctuation	264	0.3%
Open Punctuation	190	0.2%
Close Punctuation	189	0.2%
Math Symbol	3	< 0.1%
Control	2	< 0.1%
Other values (2)	2	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	4842	10.4%
o	4638	10.0%
a	4636	10.0%
n	3856	8.3%
l	3696	8.0%
i	3486	7.5%
r	3306	7.1%
s	2917	6.3%
t	2357	5.1%
u	2217	4.8%
Other values (18)	10476	22.6%

Uppercase Letter

Value	Count	Frequency (%)
C	3034	16.9%
D	2819	15.7%
A	1901	10.6%
B	1728	9.7%
H	1016	5.7%
L	883	4.9%
F	796	4.4%
S	790	4.4%
I	642	3.6%
T	620	3.5%
Other values (16)	3671	20.5%

Decimal Number

Value	Count	Frequency (%)
2	2167	15.7%
0	2103	15.2%
1	2017	14.6%
3	1706	12.4%
4	1704	12.3%
7	1494	10.8%
6	875	6.3%
5	713	5.2%
8	664	4.8%
9	365	2.6%

Other Punctuation

Value	Count	Frequency (%)
/	185	70.1%
.	76	28.8%
,	2	0.8%
&	1	0.4%

Space Separator

Value	Count	Frequency (%)
	8649	> 99.9%
	1	< 0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	5180	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	190	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	189	100.0%

Math Symbol

Value	Count	Frequency (%)
+	3	100.0%

Control

Value	Count	Frequency (%)
	2	100.0%

Initial Punctuation

Value	Count	Frequency (%)
‘	1	100.0%

Final Punctuation

Value	Count	Frequency (%)
’	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	64327	69.5%
Common	28288	30.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	4842	7.5%
o	4638	7.2%
a	4636	7.2%
n	3856	6.0%
l	3696	5.7%
i	3486	5.4%
r	3306	5.1%
C	3034	4.7%
s	2917	4.5%
D	2819	4.4%
Other values (44)	27097	42.1%

Common

Value	Count	Frequency (%)
	8649	30.6%
-	5180	18.3%
2	2167	7.7%
0	2103	7.4%
1	2017	7.1%
3	1706	6.0%
4	1704	6.0%
7	1494	5.3%
6	875	3.1%
5	713	2.5%
Other values (13)	1680	5.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	92596	> 99.9%
None	17	< 0.1%
Punctuation	2	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	8649	9.3%
-	5180	5.6%
e	4842	5.2%
o	4638	5.0%
a	4636	5.0%
n	3856	4.2%
l	3696	4.0%
i	3486	3.8%
r	3306	3.6%
C	3034	3.3%
Other values (62)	47273	51.1%

None

Value	Count	Frequency (%)
é	12	70.6%
è	4	23.5%
	1	5.9%

Punctuation

Value	Count	Frequency (%)
‘	1	50.0%
’	1	50.0%

Registros
Categorical

HIGH CARDINALITY MISSING UNIFORM

Distinct	4700
Distinct (%)	99.2%
Missing	272
Missing (%)	5.4%
Memory size	39.2 KiB

49	3
SU-AFK	2
2	2
19	2
CCCP-45012	2
Other values (4695)	4725

Length

Max length	15
Median length	6
Mean length	6.4940878
Min length	1

Characters and Unicode

Total characters	30756
Distinct characters	49
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4665 ?
Unique (%)	98.5%

Sample

1st row	SC1
2nd row	L-48
3rd row	97
4th row	61
5th row	82

Common Values

Value	Count	Frequency (%)
49	3	0.1%
SU-AFK	2	< 0.1%
2	2	< 0.1%
19	2	< 0.1%
CCCP-45012	2	< 0.1%
101	2	< 0.1%
G-ADUZ	2	< 0.1%
VH-ABB	2	< 0.1%
OK-MCT	2	< 0.1%
I-BAUS	2	< 0.1%
Other values (4690)	4715	94.1%
(Missing)	272	5.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	39	0.8%
hk	4	0.1%
49	3	0.1%
cccp	2	< 0.1%
82	2	< 0.1%
53	2	< 0.1%
cf-tcl	2	< 0.1%
12406	2	< 0.1%
f-bbdm	2	< 0.1%
204	2	< 0.1%
Other values (4732)	4772	98.8%

Most occurring characters

Value	Count	Frequency (%)
-	3497	11.4%
C	2022	6.6%
A	1711	5.6%
1	1541	5.0%
N	1432	4.7%
2	1246	4.1%
P	1193	3.9%
4	1187	3.9%
5	1132	3.7%
0	1098	3.6%
Other values (39)	14697	47.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	15946	51.8%
Decimal Number	11081	36.0%
Dash Punctuation	3497	11.4%
Other Punctuation	119	0.4%
Space Separator	90	0.3%
Control	12	< 0.1%
Lowercase Letter	10	< 0.1%
Math Symbol	1	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
C	2022	12.7%
A	1711	10.7%
N	1432	9.0%
P	1193	7.5%
B	718	4.5%
F	690	4.3%
H	636	4.0%
T	611	3.8%
E	560	3.5%
G	559	3.5%
Other values (16)	5814	36.5%

Decimal Number

Value	Count	Frequency (%)
1	1541	13.9%
2	1246	11.2%
4	1187	10.7%
5	1132	10.2%
0	1098	9.9%
3	1037	9.4%
6	1026	9.3%
7	1015	9.2%
8	912	8.2%
9	887	8.0%

Lowercase Letter

Value	Count	Frequency (%)
l	5	50.0%
y	1	10.0%
e	1	10.0%
o	1	10.0%
w	1	10.0%
d	1	10.0%

Other Punctuation

Value	Count	Frequency (%)
/	114	95.8%
?	5	4.2%

Control

Value	Count	Frequency (%)
	10	83.3%
	2	16.7%

Dash Punctuation

Value	Count	Frequency (%)
-	3497	100.0%

Space Separator

Value	Count	Frequency (%)
	90	100.0%

Math Symbol

Value	Count	Frequency (%)
+	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15956	51.9%
Common	14800	48.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
C	2022	12.7%
A	1711	10.7%
N	1432	9.0%
P	1193	7.5%
B	718	4.5%
F	690	4.3%
H	636	4.0%
T	611	3.8%
E	560	3.5%
G	559	3.5%
Other values (22)	5824	36.5%

Common

Value	Count	Frequency (%)
-	3497	23.6%
1	1541	10.4%
2	1246	8.4%
4	1187	8.0%
5	1132	7.6%
0	1098	7.4%
3	1037	7.0%
6	1026	6.9%
7	1015	6.9%
8	912	6.2%
Other values (7)	1109	7.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	30756	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	3497	11.4%
C	2022	6.6%
A	1711	5.6%
1	1541	5.0%
N	1432	4.7%
2	1246	4.1%
P	1193	3.9%
4	1187	3.9%
5	1132	3.7%
0	1098	3.6%
Other values (39)	14697	47.8%

Todos_abordo
Real number (ℝ)

Distinct	244
Distinct (%)	4.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	31.120807

Minimum	0
Maximum	644
Zeros	5
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	19.7 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	7
median	16
Q3	34.25
95-th percentile	117
Maximum	644
Range	644
Interquartile range (IQR)	27.25

Descriptive statistics

Standard deviation	45.402692
Coefficient of variation (CV)	1.4589176
Kurtosis	24.044967
Mean	31.120807
Median Absolute Deviation (MAD)	11
Skewness	3.9275976
Sum	155853
Variance	2061.4044
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	280	5.6%
2	246	4.9%
4	202	4.0%
5	190	3.8%
10	179	3.6%
6	174	3.5%
7	164	3.3%
1	139	2.8%
9	130	2.6%
11	128	2.6%
Other values (234)	3176	63.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5	0.1%
1	139	2.8%
2	246	4.9%
3	280	5.6%
4	202	4.0%
5	190	3.8%
6	174	3.5%
7	164	3.3%
8	119	2.4%
9	130	2.6%

Value	Count	Frequency (%)
644	1	< 0.1%
524	1	< 0.1%
517	1	< 0.1%
394	1	< 0.1%
393	1	< 0.1%
384	1	< 0.1%
356	1	< 0.1%
349	1	< 0.1%
346	1	< 0.1%
340	1	< 0.1%

Pasajeros_a_bordo
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	234
Distinct (%)	4.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	26.882788

Minimum	0
Maximum	614
Zeros	869
Zeros (%)	17.4%
Negative	0
Negative (%)	0.0%
Memory size	19.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	3
median	13
Q3	29
95-th percentile	109.65
Maximum	614
Range	614
Interquartile range (IQR)	26

Descriptive statistics

Standard deviation	43.052562
Coefficient of variation (CV)	1.6014917
Kurtosis	25.436588
Mean	26.882788
Median Absolute Deviation (MAD)	12
Skewness	4.0258255
Sum	134629
Variance	1853.5231
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	869	17.4%
27	262	5.2%
4	170	3.4%
2	162	3.2%
5	140	2.8%
3	130	2.6%
7	130	2.6%
10	128	2.6%
9	128	2.6%
8	126	2.5%
Other values (224)	2763	55.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	869	17.4%
1	120	2.4%
2	162	3.2%
3	130	2.6%
4	170	3.4%
5	140	2.8%
6	109	2.2%
7	130	2.6%
8	126	2.5%
9	128	2.6%

Value	Count	Frequency (%)
614	1	< 0.1%
509	1	< 0.1%
503	1	< 0.1%
381	1	< 0.1%
374	1	< 0.1%
364	1	< 0.1%
338	1	< 0.1%
335	1	< 0.1%
327	1	< 0.1%
316	1	< 0.1%

Tripulacion_abordo
Real number (ℝ)

Distinct	34
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.4968051

Minimum	0
Maximum	83
Zeros	7
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	19.7 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	4
Q3	6
95-th percentile	11
Maximum	83
Range	83
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	3.6765019
Coefficient of variation (CV)	0.81758089
Kurtosis	65.889354
Mean	4.4968051
Median Absolute Deviation (MAD)	2
Skewness	5.085092
Sum	22520
Variance	13.516666
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
3	954	19.0%
4	913	18.2%
2	828	16.5%
1	535	10.7%
5	514	10.3%
6	375	7.5%
7	244	4.9%
8	173	3.5%
9	115	2.3%
10	94	1.9%
Other values (24)	263	5.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	7	0.1%
1	535	10.7%
2	828	16.5%
3	954	19.0%
4	913	18.2%
5	514	10.3%
6	375	7.5%
7	244	4.9%
8	173	3.5%
9	115	2.3%

Value	Count	Frequency (%)
83	1	< 0.1%
61	1	< 0.1%
49	1	< 0.1%
43	1	< 0.1%
41	1	< 0.1%
33	1	< 0.1%
31	1	< 0.1%
30	1	< 0.1%
27	1	< 0.1%
25	4	0.1%

cantidad de fallecidos
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	199
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	22.29353

Minimum	0
Maximum	583
Zeros	76
Zeros (%)	1.5%
Negative	0
Negative (%)	0.0%
Memory size	19.7 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	4
median	11
Q3	25
95-th percentile	85
Maximum	583
Range	583
Interquartile range (IQR)	21

Descriptive statistics

Standard deviation	34.972415
Coefficient of variation (CV)	1.5687248
Kurtosis	36.920237
Mean	22.29353
Median Absolute Deviation (MAD)	9
Skewness	4.6259543
Sum	111646
Variance	1223.0698
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	384	7.7%
2	377	7.5%
3	363	7.2%
4	242	4.8%
5	235	4.7%
6	176	3.5%
7	160	3.2%
10	159	3.2%
13	132	2.6%
9	128	2.6%
Other values (189)	2652	53.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	76	1.5%
1	384	7.7%
2	377	7.5%
3	363	7.2%
4	242	4.8%
5	235	4.7%
6	176	3.5%
7	160	3.2%
8	128	2.6%
9	128	2.6%

Value	Count	Frequency (%)
583	1	< 0.1%
520	1	< 0.1%
349	1	< 0.1%
346	1	< 0.1%
329	1	< 0.1%
301	1	< 0.1%
298	1	< 0.1%
290	1	< 0.1%
275	1	< 0.1%
271	1	< 0.1%

Pasajeros_fallecidos
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	190
Distinct (%)	3.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	18.896565

Minimum	0
Maximum	560
Zeros	1040
Zeros (%)	20.8%
Negative	0
Negative (%)	0.0%
Memory size	19.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	8
Q3	20
95-th percentile	79
Maximum	560
Range	560
Interquartile range (IQR)	19

Descriptive statistics

Standard deviation	33.256766
Coefficient of variation (CV)	1.759937
Kurtosis	38.93841
Mean	18.896565
Median Absolute Deviation (MAD)	8
Skewness	4.7628844
Sum	94634
Variance	1106.0125
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1040	20.8%
1	308	6.2%
18	304	6.1%
2	263	5.3%
3	193	3.9%
4	185	3.7%
5	139	2.8%
6	133	2.7%
8	126	2.5%
7	126	2.5%
Other values (180)	2191	43.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1040	20.8%
1	308	6.2%
2	263	5.3%
3	193	3.9%
4	185	3.7%
5	139	2.8%
6	133	2.7%
7	126	2.5%
8	126	2.5%
9	118	2.4%

Value	Count	Frequency (%)
560	1	< 0.1%
505	1	< 0.1%
335	1	< 0.1%
316	1	< 0.1%
307	1	< 0.1%
287	1	< 0.1%
283	1	< 0.1%
278	1	< 0.1%
258	1	< 0.1%
257	1	< 0.1%

Tripulacionfallecida
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	28
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.5597045

Minimum	0
Maximum	43
Zeros	400
Zeros (%)	8.0%
Negative	0
Negative (%)	0.0%
Memory size	19.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	3
Q3	5
95-th percentile	9
Maximum	43
Range	43
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	3.1043418
Coefficient of variation (CV)	0.87207852
Kurtosis	13.683758
Mean	3.5597045
Median Absolute Deviation (MAD)	1
Skewness	2.5794338
Sum	17827
Variance	9.636938
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
3	1059	21.1%
2	892	17.8%
1	771	15.4%
4	591	11.8%
5	402	8.0%
0	400	8.0%
6	273	5.5%
7	171	3.4%
8	130	2.6%
9	87	1.7%
Other values (18)	232	4.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	400	8.0%
1	771	15.4%
2	892	17.8%
3	1059	21.1%
4	591	11.8%
5	402	8.0%
6	273	5.5%
7	171	3.4%
8	130	2.6%
9	87	1.7%

Value	Count	Frequency (%)
43	1	< 0.1%
33	1	< 0.1%
27	1	< 0.1%
25	2	< 0.1%
23	6	0.1%
22	5	0.1%
21	2	< 0.1%
20	3	0.1%
19	5	0.1%
18	3	0.1%

suelo
Real number (ℝ)

SKEWED ZEROS

Distinct	51
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.7208466

Minimum	0
Maximum	2750
Zeros	4716
Zeros (%)	94.2%
Negative	0
Negative (%)	0.0%
Memory size	19.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	2750
Range	2750
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	55.251174
Coefficient of variation (CV)	32.106971
Kurtosis	2445.2883
Mean	1.7208466
Median Absolute Deviation (MAD)	0
Skewness	49.203131
Sum	8618
Variance	3052.6922
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	4716	94.2%
2	78	1.6%
1	63	1.3%
3	21	0.4%
4	16	0.3%
5	12	0.2%
7	10	0.2%
8	9	0.2%
10	6	0.1%
6	6	0.1%
Other values (41)	71	1.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4716	94.2%
1	63	1.3%
2	78	1.6%
3	21	0.4%
4	16	0.3%
5	12	0.2%
6	6	0.1%
7	10	0.2%
8	9	0.2%
9	1	< 0.1%

Value	Count	Frequency (%)
2750	2	< 0.1%
225	1	< 0.1%
125	2	< 0.1%
113	1	< 0.1%
87	1	< 0.1%
85	1	< 0.1%
78	1	< 0.1%
71	1	< 0.1%
63	1	< 0.1%
58	1	< 0.1%

Resumen
Categorical

HIGH CARDINALITY MISSING UNIFORM

Distinct	4857
Distinct (%)	98.1%
Missing	59
Missing (%)	1.2%
Memory size	39.2 KiB

Crashed under unknown circumstances.	9
Crashed while en route.	8
Crashed while attempting to land.	7
Crashed during takeoff.	6
Crashed into the sea.	5
Other values (4852)	4914

Length

Max length	2669
Median length	787
Mean length	223.39382
Min length	8

Characters and Unicode

Total characters	1105576
Distinct characters	101
Distinct categories	14 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4813 ?
Unique (%)	97.3%

Sample

1st row	During a demonstration flight, a U.S. Army flyer flown by Orville Wright nose-dived into the ground from a height of approximately 75 feet, killing Lt. Thomas E. Selfridge, 26, who was a passenger. This was the first recorded airplane fatality in history. One of two propellers separated in flight, tearing loose the wires bracing the rudder and causing the loss of control of the aircraft. Orville Wright suffered broken ribs, pelvis and a leg. Selfridge suffered a crushed skull and died a short time later.
2nd row	Eugene Lefebvre was the first pilot to ever be killed in an air accident, after his controls jambed while flying in an air show.
3rd row	First U.S. dirigible Akron exploded just offshore at an altitude of 1,000 ft. during a test flight.
4th row	The first fatal airplane accident in Canada occurred when American barnstormer, John M. Bryant, California aviator was killed.
5th row	The airship flew into a thunderstorm and encountered a severe downdraft crashing 20 miles north of Helgoland Island into the sea. The ship broke in two and the control car immediately sank drowning its occupants.

Common Values

Value	Count	Frequency (%)
Crashed under unknown circumstances.	9	0.2%
Crashed while en route.	8	0.2%
Crashed while attempting to land.	7	0.1%
Crashed during takeoff.	6	0.1%
Crashed into the sea.	5	0.1%
Crashed shortly after taking off.	5	0.1%
Crashed on takeoff.	4	0.1%
Shot down by rebel forces.	4	0.1%
Crashed under unknown circumstances	4	0.1%
Crashed en route.	4	0.1%
Other values (4847)	4893	97.7%
(Missing)	59	1.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	18463	10.1%
of	5544	3.0%
a	5456	3.0%
and	5444	3.0%
to	5429	3.0%
in	3682	2.0%
crashed	3386	1.8%
was	2779	1.5%
aircraft	2557	1.4%
into	2360	1.3%
Other values (11568)	127976	69.9%

Most occurring characters

Value	Count	Frequency (%)
	179362	16.2%
e	104905	9.5%
t	81905	7.4%
a	79924	7.2%
n	68116	6.2%
i	65870	6.0%
r	63437	5.7%
o	62600	5.7%
h	42794	3.9%
s	39810	3.6%
Other values (91)	316853	28.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	869373	78.6%
Space Separator	179369	16.2%
Uppercase Letter	25294	2.3%
Other Punctuation	20624	1.9%
Decimal Number	8853	0.8%
Dash Punctuation	1645	0.1%
Close Punctuation	158	< 0.1%
Open Punctuation	140	< 0.1%
Final Punctuation	67	< 0.1%
Control	33	< 0.1%
Other values (4)	20	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	104905	12.1%
t	81905	9.4%
a	79924	9.2%
n	68116	7.8%
i	65870	7.6%
r	63437	7.3%
o	62600	7.2%
h	42794	4.9%
s	39810	4.6%
d	38411	4.4%
Other values (30)	221601	25.5%

Uppercase Letter

Value	Count	Frequency (%)
T	5796	22.9%
C	2775	11.0%
A	2579	10.2%
S	1531	6.1%
F	1286	5.1%
M	1207	4.8%
I	1063	4.2%
P	960	3.8%
W	924	3.7%
N	861	3.4%
Other values (16)	6312	25.0%

Other Punctuation

Value	Count	Frequency (%)
.	13487	65.4%
,	5721	27.7%
'	771	3.7%
"	362	1.8%
/	170	0.8%
:	56	0.3%
;	34	0.2%
&	17	0.1%
%	3	< 0.1%
#	2	< 0.1%

Decimal Number

Value	Count	Frequency (%)
0	2668	30.1%
1	1368	15.5%
2	1042	11.8%
5	830	9.4%
3	820	9.3%
4	578	6.5%
6	432	4.9%
7	416	4.7%
8	386	4.4%
9	313	3.5%

Space Separator

Value	Count	Frequency (%)
	179362	> 99.9%
	7	< 0.1%

Close Punctuation

Value	Count	Frequency (%)
)	157	99.4%
]	1	0.6%

Open Punctuation

Value	Count	Frequency (%)
(	139	99.3%
[	1	0.7%

Control

Value	Count	Frequency (%)
	32	97.0%
	1	3.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1645	100.0%

Final Punctuation

Value	Count	Frequency (%)
’	67	100.0%

Math Symbol

Value	Count	Frequency (%)
+	7	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	7	100.0%

Other Symbol

Value	Count	Frequency (%)
°	3	100.0%

Initial Punctuation

Value	Count	Frequency (%)
‘	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	894667	80.9%
Common	210909	19.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	104905	11.7%
t	81905	9.2%
a	79924	8.9%
n	68116	7.6%
i	65870	7.4%
r	63437	7.1%
o	62600	7.0%
h	42794	4.8%
s	39810	4.4%
d	38411	4.3%
Other values (56)	246895	27.6%

Common

Value	Count	Frequency (%)
	179362	85.0%
.	13487	6.4%
,	5721	2.7%
0	2668	1.3%
-	1645	0.8%
1	1368	0.6%
2	1042	0.5%
5	830	0.4%
3	820	0.4%
'	771	0.4%
Other values (25)	3195	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1105434	> 99.9%
None	72	< 0.1%
Punctuation	70	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	179362	16.2%
e	104905	9.5%
t	81905	7.4%
a	79924	7.2%
n	68116	6.2%
i	65870	6.0%
r	63437	5.7%
o	62600	5.7%
h	42794	3.9%
s	39810	3.6%
Other values (73)	316711	28.7%

Punctuation

Value	Count	Frequency (%)
’	67	95.7%
‘	3	4.3%

None

Value	Count	Frequency (%)
é	20	27.8%
á	15	20.8%
í	8	11.1%
	7	9.7%
ó	3	4.2%
°	3	4.2%
ö	3	4.2%
ã	2	2.8%
â	2	2.8%
ü	2	2.8%
Other values (6)	7	9.7%

Año_realializado
Real number (ℝ)

Distinct	111
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1970.8516

Minimum	1908
Maximum	2021
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.2 KiB

Quantile statistics

Minimum	1908
5-th percentile	1931
Q1	1951
median	1970
Q3	1992
95-th percentile	2010
Maximum	2021
Range	113
Interquartile range (IQR)	41

Descriptive statistics

Standard deviation	24.703696
Coefficient of variation (CV)	0.012534528
Kurtosis	-0.95072008
Mean	1970.8516
Median Absolute Deviation (MAD)	20
Skewness	-0.032020334
Sum	9870025
Variance	610.27257
Monotonicity	Increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1946	88	1.8%
1989	83	1.7%
1947	82	1.6%
1948	78	1.6%
1962	78	1.6%
1972	77	1.5%
1945	75	1.5%
1951	75	1.5%
1994	74	1.5%
1970	73	1.5%
Other values (101)	4225	84.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1908	1	< 0.1%
1909	1	< 0.1%
1912	1	< 0.1%
1913	3	0.1%
1915	2	< 0.1%
1916	5	0.1%
1917	7	0.1%
1918	4	0.1%
1919	9	0.2%
1920	18	0.4%

Value	Count	Frequency (%)
2021	7	0.1%
2020	8	0.2%
2019	13	0.3%
2018	19	0.4%
2017	15	0.3%
2016	23	0.5%
2015	18	0.4%
2014	23	0.5%
2013	25	0.5%
2012	26	0.5%

Auto

Heatmap
Table

	Unnamed: 0	Todos_abordo	Pasajeros_a_bordo	Tripulacion_abordo	cantidad de fallecidos	Pasajeros_fallecidos	Tripulacionfallecida	suelo	Año_realializado
Unnamed: 0	1.000	0.170	0.153	0.107	0.110	0.098	0.040	0.027	1.000
Todos_abordo	0.170	1.000	0.949	0.659	0.743	0.773	0.367	0.033	0.170
Pasajeros_a_bordo	0.153	0.949	1.000	0.512	0.697	0.819	0.238	0.016	0.152
Tripulacion_abordo	0.107	0.659	0.512	1.000	0.516	0.390	0.690	0.085	0.107
cantidad de fallecidos	0.110	0.743	0.697	0.516	1.000	0.926	0.669	-0.007	0.110
Pasajeros_fallecidos	0.098	0.773	0.819	0.390	0.926	1.000	0.464	-0.024	0.098
Tripulacionfallecida	0.040	0.367	0.238	0.690	0.669	0.464	1.000	0.036	0.040
suelo	0.027	0.033	0.016	0.085	-0.007	-0.024	0.036	1.000	0.027
Año_realializado	1.000	0.170	0.152	0.107	0.110	0.098	0.040	0.027	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	Unnamed: 0	fecha	Ruta	OperadOR	ac_type	Registros	Todos_abordo	Pasajeros_a_bordo	Tripulacion_abordo	cantidad de fallecidos	Pasajeros_fallecidos	Tripulacionfallecida	Resumen	Año_realializado
0	0	1908-09-17	Fort Myer, Virginia	Military - U.S. Army	Wright Flyer III	NaN	2	1	1	1	1	0	During a demonstration flight, a U.S. Army flyer flown by Orville Wright nose-dived into the ground from a height of approximately 75 feet, killing Lt. Thomas E. Selfridge, 26, who was a passenger. This was the first recorded airplane fatality in history. One of two propellers separated in flight, tearing loose the wires bracing the rudder and causing the loss of control of the aircraft. Orville Wright suffered broken ribs, pelvis and a leg. Selfridge suffered a crushed skull and died a short time later.	1908
1	1	1909-09-07	Juvisy-sur-Orge, France	NaN	Wright Byplane	SC1	1	0	1	1	0	0	Eugene Lefebvre was the first pilot to ever be killed in an air accident, after his controls jambed while flying in an air show.	1909
2	2	1912-07-12	Atlantic City, New Jersey	Military - U.S. Navy	Dirigible	NaN	5	0	5	5	0	5	First U.S. dirigible Akron exploded just offshore at an altitude of 1,000 ft. during a test flight.	1912
3	3	1913-08-06	Victoria, British Columbia, Canada	Private	Curtiss seaplane	NaN	1	0	1	1	0	1	The first fatal airplane accident in Canada occurred when American barnstormer, John M. Bryant, California aviator was killed.	1913
4	4	1913-09-09	Over the North Sea	Military - German Navy	Zeppelin L-1 (airship)	NaN	20	27	4	14	18	3	The airship flew into a thunderstorm and encountered a severe downdraft crashing 20 miles north of Helgoland Island into the sea. The ship broke in two and the control car immediately sank drowning its occupants.	1913
5	5	1913-10-17	Near Johannisthal, Germany	Military - German Navy	Zeppelin L-2 (airship)	NaN	28	27	4	28	18	3	Hydrogen gas which was being vented was sucked into the forward engine and ignited causing the airship to explode and burn at 3,000 ft..German Navy's Zeppelin airships L-4 and L-5 were blown out to sea in February 1915, never to be seen again.	1913
6	6	1915-03-05	Tienen, Belgium	Military - German Navy	Zeppelin L-8 (airship)	NaN	41	0	41	17	0	17	Crashed into trees while attempting to land after being shot down by British and French aircraft.	1915
7	7	1915-09-03	Off Cuxhaven, Germany	Military - German Navy	Zeppelin L-10 (airship)	NaN	19	27	4	19	18	3	Exploded and burned near Neuwerk Island, when hydrogen gas, being vented, was ignited by lightning.	1915
8	8	1916-07-28	Near Jambol, Bulgeria	Military - German Army	Schutte-Lanz S-L-10 (airship)	NaN	20	27	4	20	18	3	Crashed near the Black Sea, cause unknown.	1916
9	9	1916-09-24	Billericay, England	Military - German Navy	Zeppelin L-32 (airship)	NaN	22	27	4	22	18	3	Shot down by British aircraft crashing in flames.	1916

	Unnamed: 0	fecha	Ruta	OperadOR	ac_type	Registros	Todos_abordo	Pasajeros_a_bordo	Tripulacion_abordo	cantidad de fallecidos	Pasajeros_fallecidos	Tripulacionfallecida	suelo	Resumen	Año_realializado
4998	4998	2020-08-07	Calicut, India	Air India Exppress	Boeing 737-8HG	VT-AXH	190	184	6	20	18	2	0	The flight IX344 suffered a runway excursion while landing at Kozhikode-Calicut Airport in heavy rain. The nose section separated from the fuselage after going down a steep slope at the end of the runway. The pilot and copilot were among the dead. Low visibility, wet runway, low cloud base and poor braking action possibly contributed to the accident.	2020
4999	4999	2020-08-22	Juba, South Sudan	South West Aviaiton	Antonov 26B	EX-126	8	5	3	7	4	3	0	The cargo plane lost height shortly after departure from Juba Airport and impacted a farm near Hai Referendum about 3nm southwest of the airport. One passenger survived in critical condition. The plane was chartered by the World Food Program to transport supplies and wages to Wau and Aweil.	2020
5000	5000	2020-09-25	Near Chuguev, Ukraine	Military - Ukraine Air Force	Antonov An26SH	76 yellow	27	20	7	26	19	7	0	The military transport, crashed 1.2 miles from Chuguev air base. The plane was carrying cadets from a nearby air force university on a training flight. The crew may have reported failure of an engine prior to the accident.	2020
5001	5001	2021-01-09	Near Jakarta, Indonesia	Sriwijaya Air	Boeing 737-524	PK-CLC	62	56	6	62	56	6	0	Sriwijaya Air flight 182 was climbing through 10,900 ft., 11 nm north of Jakarta-Soekarno-Hatta International Airport, over the Java Sea when radar and radio contact was lost. The aircraft then lost height rapidly and impacted the Java Sea. Debris was located near Lancang Island.	2021
5002	5002	2021-03-02	Pieri, Sudan	South Sudan Supreme Airlines	Let L-410UVP-E	HK-4274	10	8	2	10	8	2	0	One of the engines on the aircraft failed 10 minutes after takeof. When the plane turned back, the second engine failed.	2021
5003	5003	2021-03-28	Near Butte, Alaska	Soloy Helicopters	Eurocopter AS350B3 Ecureuil	N351SH	6	5	1	5	4	1	0	The sightseeing helicopter crashed after missing the top of a 6,000 ft mountain by just 10 - 15 ft. The crash site was near Knik glacier. The pilot, and four others were killed including Czech billionaire Petr Kellner.	2021
5004	5004	2021-05-21	Near Kaduna, Nigeria	Military - Nigerian Air Force	Beechcraft B300 King Air 350i	NAF203	11	7	4	11	7	4	0	While on final approach, in poor weather conditions, the aircraft crashed and burst into flames less than 10 km from Kaduna Airport. All 11 occupants were killed, incuding General Ibrahim Attahiru, Chief of Staff of the Nigerian Army.	2021
5005	5005	2021-06-10	Near Pyin Oo Lwin, Myanmar	Military - Myanmar Air Force	Beechcraft 1900D	4610	14	12	2	12	11	1	0	The plane was carrying military personnel and monks when it crashed about 300 meters from a steel plant in the Mandalay region. The plane was attempting to land in poor weather conditions and broke into three pieces.	2021
5006	5006	2021-07-04	Patikul, Sulu, Philippines	Military - Philippine Air Force	Lockheed C-130H Hercules	5125	96	88	8	50	18	3	3	While attempting to land at Jolo Airport, the military transport overran the runway, struck two houses and burst into flames coming to rest on a coconut plantation.	2021
5007	5007	2021-07-06	Palana, Russia	Kamchatka Aviation Enterprise	Antonov An 26B-100	RA-26085	28	22	6	28	22	6	0	The passenger plane crashed into the top of a cliff while attempting to land in inclement weather. The debris fell into the sea. Contact was lost with the plane 10 minutes before it was to land.	2021

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Other Punctuation

Space Separator

Control

Dash Punctuation

Close Punctuation

Open Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Other Punctuation

Space Separator

Control

Dash Punctuation

Open Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Other Punctuation

Space Separator

Dash Punctuation

Open Punctuation

Close Punctuation

Math Symbol

Control

Initial Punctuation

Final Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Punctuation

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Decimal Number

Lowercase Letter